Skip to content
by IQAC KIITKIIT Deemed to be University — Internal Quality Assurance Cell

Publication2025

Leveraging AI and ML to Customize Salesforce CRM for Industry-Specific Solutions

The record

Type
Publication
Date
1 January 2025
Level
International — held abroad
Journal
2025 International Conference on Intelligent and Secure Engineering Solutions Cises 2025
Pages
1492-1497
Published
1 January 2025
DOI
10.1109/cises66934.2025.11265253
Scopus ID
105031605095
Authors
4
Open access
No
Citations
5
International co-authorship
Yes
Co-author countries
IN, US, UZ

Classification

Every label below carries the reasoning it was assigned on, the confidence band it was assigned in, and what produced it. The rubric is published.

UN Sustainable Development Goals

  1. 8 Promote sustained, inclusive and sustainable economic growth, full and productive employment and decent work for all

    GoalPrimaryHigh confidenceJudged

    AI and machine learning customization of Salesforce CRM enables lead scoring, customer segmentation, and predictive forecasting for business productivity.

    High confidence
    The subject matter is a strong and direct inference from the record type, the funding or organising body, or the programme context, even where the title alone is thin. Example: an ICMR-funded project against SDG 3, on the strength of the agency.
    Judged
    Judged against the published classification rubric, under the rubric and prompt versions recorded with the run that produced it.
    Produced by
    claude-haiku-4-5-20251001, under kortex-publication-v1

  2. 17.6 Enhance North-South, South-South and triangular cooperation on science, technology and innovation, and knowledge sharing

    TargetSecondaryHigh confidenceRule-derivedrule sdg17-structural-v1

    Structural signal: co-authorship outside India.

    Rule-derived
    Emitted by a deterministic rule from structural signals rather than judged from the record’s text. The rule carries a version, so rule-derived and judged labels stay separable.
    Produced by
    sdg17-structural-v1, under kortex-publication-v1

Viksit Bharat @2047

  1. vb-2.3 Services and the knowledge economy

    Sub-themePrimaryHigh confidenceJudged

    NLP-powered chatbots and domain-specific CRM customization support knowledge economy engagement improving customer relationship management efficiency.

    Produced by
    claude-haiku-4-5-20251001, under kortex-publication-v1

Each label above carries the instrument and the version that produced it. How each classification is reached.

Evidence

Kortex hosts no documents. Evidence is an outbound link to the authority that holds it.

No outbound evidence link is recorded for this activity. The record below states which source it came from and when it was last read.

Provenance

Which source system this record came from, how many source rows were resolved into it, and when each was last read.

Source rows resolved into this record
1

Each record carries the date Kortex last read it from its source system. That is a freshness date and not a verification: Kortex records what its sources say and when it read them, and it does not check those statements against any external authority. No claim on this site is described as verified, because none is.

Citing this record

This URL is stable. A record’s permalink is frozen when it is published and is not regenerated if its title is later corrected.

KIIT Deemed to be University. “Leveraging AI and ML to Customize Salesforce CRM for Industry-Specific Solutions”. Kortex.

Explore the full record